derivatives.est | R Documentation |
Returns the estimated values of derivatives of functional data.
derivatives.est(dataf, range = NULL, d = 101, spar = NULL, deriv = c(0,1))
dataf |
Functional dataset, represented by a |
range |
The common range of the domain where the functions |
d |
Grid size to which all the functional data are transformed. For computation,
all functional observations are first transformed into vectors of their functional values of length |
spar |
If provided, this parameter is passed to functions |
deriv |
A vector composed of |
If the input dataf
is a functional random sample of size m
,
the function returns a dataf
object of nd
-dimensional functional data, where
in the elements of the vector-valued functional data represent the estimated values of the
derivatives of dataf
. All derivatives are evaluated at an equi-distant grid of d
points in the domain given by range
. nd
here stands for 1
, 2
or 3
,
depending on how many derivatives of dataf
are
requested to be computed. For the estimation, functions D1ss
and D2ss
from the package
sfsmisc
are utilized.
A multivariate dataf
object of the functional values and / or the derivatives of dataf
.
The dimensionality of the vector-valued functional data is nd
. The arguments of the data are all equal to
an equi-distant grid of d
points in the domain given by range
. nd
is the demanded number
of derivatives at the output, i.e. the length of the vector deriv
.
Stanislav Nagy, nagy@karlin.mff.cuni.cz
D1ss
in package sfsmisc
D2ss
in package sfsmisc
dataf = dataf.population()$dataf
derivatives.est(dataf,deriv=c(0,1,2))
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